Suppr超能文献

哪些急诊科患者应接受暴露前预防?预测分析方法的实施。

Which Patients in the Emergency Department Should Receive Preexposure Prophylaxis? Implementation of a Predictive Analytics Approach.

机构信息

1 Department of Medicine, University of Chicago , Chicago, Illinois.

2 Chicago Center for HIV Elimination, University of Chicago , Chicago, Illinois.

出版信息

AIDS Patient Care STDS. 2018 May;32(5):202-207. doi: 10.1089/apc.2018.0011. Epub 2018 Apr 19.

Abstract

Emergency Departments (EDs) have the potential to play a crucial role in HIV prevention by identifying and linking high-risk HIV-negative clients to preexposure prophylaxis (PrEP) care, but it is difficult to perform HIV risk assessment for all ED patients. We aimed to develop and implement an electronic risk score to identify ED patients who are potential candidates for PrEP. Using electronic medical record (EMR) data, we used logistic regression to model the outcome of PrEP eligibility. We converted the model into an electronic risk score and incorporated it into the EMR. The risk score is automatically calculated at triage. For patients whose risk score is above a given threshold, an automated electronic alert is sent to an HIV prevention counselor who performs real time HIV prevention counseling, risk assessment, and PrEP linkage as appropriate. The electronic risk score includes the following EMR variables: age, gender, gender of sexual partner, chief complaint, and positive test for sexually transmitted infection in the prior 6 months. A risk score ≥21 has specificity of 80.6% and sensitivity of 50%. In the first 5.5 months of implementation, the alert fired for 180 patients, 34.4% (62/180) of whom were women. Of the 51 patients who completed risk assessment, 68.6% (35/51) were interested in PrEP, 17.6% (9/51) scheduled a PrEP appointment, and 7.8% (4/51) successfully initiated PrEP. The measured number of successful PrEP initiations is likely an underestimate, as it does include patients who initiated PrEP with outside providers or referred acquaintances for PrEP care.

摘要

急诊科(ED)通过识别和将高风险的 HIV 阴性客户与暴露前预防(PrEP)护理联系起来,有可能在 HIV 预防中发挥关键作用,但很难对所有 ED 患者进行 HIV 风险评估。我们旨在开发和实施一种电子风险评分,以确定可能适合 PrEP 的 ED 患者。我们使用电子病历(EMR)数据,使用逻辑回归对 PrEP 资格的结果进行建模。我们将模型转换为电子风险评分并将其纳入 EMR。风险评分在分诊时自动计算。对于风险评分高于给定阈值的患者,将自动向 HIV 预防顾问发送电子警报,该顾问将实时进行 HIV 预防咨询、风险评估和适当的 PrEP 链接。电子风险评分包括以下 EMR 变量:年龄、性别、性伴侣的性别、主要投诉以及过去 6 个月内的性传播感染阳性检测结果。风险评分≥21 具有 80.6%的特异性和 50%的敏感性。在实施的头 5.5 个月中,警报触发了 180 名患者,其中 34.4%(62/180)为女性。在完成风险评估的 51 名患者中,68.6%(35/51)对 PrEP 感兴趣,17.6%(9/51)预约了 PrEP,7.8%(4/51)成功开始 PrEP。测量的 PrEP 成功启动数量可能被低估,因为它包括在外部提供者处开始 PrEP 或为 PrEP 护理转介熟人的患者。

相似文献

引用本文的文献

本文引用的文献

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验